3. Kaggle
Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Google Public Data Explorer can help you explore vast amounts of public-interest datasets.
You can access data from World Bank, U. S. Bureau of Labor Statistics and U.S. Bureau, OECD, IMF, and others.
Here you will find data, tools, and resources to conduct research, design data visualizations, and more.
You can enter keywords in the search box, this creates easy access to datasets that you need.
WHO manages and maintains a wide range of Information, datasets and reports concerning global health. The repo keeps the data systematically organized. You can go through the datasets according to themes, category, and country. who.int/data/gho/
9. UNICEF dataset
The datasets are published on the IATI Registry and has been extracted directly from UNICEF’s Operating system.
The data is updated monthly and You can freely access this data. You can download this data in CSV format.
The Data Catalog is designed to make World Bank's development data easy to find, download, use, and share. It includes data from the World Bank's micro data, finances, as well as datasets from the open data catalog.
Data analytics is much more than the tools involved. In as much as we all want to master the tools, knowledge about the data analysis process is important.
This is why I recommend starting with the Coursera Google data analytics course. It does justice in explaining the analysis process from asking the right questions to giving actionable recommendations from the results. (Check my pinned tweet on how to get it for free.)
@EntryLevelNet Data analytics 1 & 2 programs covers the data analysis process using core tools to answer real-life-based business problems and covers report writing. These programs gave me a clear picture of the data analysis process. (I will do a thread on these programs soon )
I promised to reply everyone but I’ve gotten over 350 Dm requests🙆🏾♀️
When I made the tweet on assisting with the application I wasn’t expecting it to blow like this 🥺.
I love how rapidly the data/tech space is growing and I’m glad we all can upskill together💪🏾
I will be making a thread under this tweet on how to apply for the Coursera financial aid as I can’t reply everyone immediately. I’ve been able to assist about 50 persons since yesterday and my Twitter account got suspended for a while as Twitter thought I was a robot.
Below are steps you can follow to apply for financial aid for the Google Data Analytics course and it can be tailored to apply for the IBM Data Analytics course as well.
1.Create an account on coursera if you don’t already have one. coursera.org
My book of the month is LEADING SEEKS YOU by @pst_iren
Quite timely and in-line with this month’s teaching🥺
- Divine leading isn’t about getting God to approve what we have already decided to do.
- Divine direction can come in an ordinary way, it doesn’t have to be spectacular.
“Many people are unaware of how special they are to God and their part in His divine plan”
I believe God’s leading is available in every area of our lives (finances, relationships, career etc)
“About 50% of the life directions we seek are already covered in God’s word.
In His word, we see God’s will about marriage, finances, friendship, and all the other major aspects of our lives.”